What are the responsibilities and job description for the Machine Learning Engineer position at Jobot Consulting?
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Job details
W2 Temp to Perm job working with top 100 fortune companies. Must be US Citizen or Green card Holder - Fully Remote w/Occasional Travel
This Jobot Consulting Job is hosted by Kevin Shilney
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary $65 - $100 per hour
A Bit About Us
Why join us?
We are looking for a skilled machine learning engineer with expertise in PyTorch and TensorFlow to join our AI team. In this role, you will focus on building, training, and deploying deep learning models to tackle complex challenges across various domains.
Responsibilities
Want to learn more about this role and Jobot Consulting?
Click our Jobot Consulting logo and follow our LinkedIn page!
Job details
W2 Temp to Perm job working with top 100 fortune companies. Must be US Citizen or Green card Holder - Fully Remote w/Occasional Travel
This Jobot Consulting Job is hosted by Kevin Shilney
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary $65 - $100 per hour
A Bit About Us
- Must be US Citizen or Green Card Holder and reside within the United States* *W2 only* - If you do not fit this criteria your application will be immediately rejected
Why join us?
- Medical, Dental, Vision insurance provided by Jobot - 75% paid by employer for employee, 25% by employer for dependents.
- Weekly pay
- 401k plan available
- Conversion to permanent employee with full benefits, 401k, and more
We are looking for a skilled machine learning engineer with expertise in PyTorch and TensorFlow to join our AI team. In this role, you will focus on building, training, and deploying deep learning models to tackle complex challenges across various domains.
Responsibilities
- Design and optimize deep neural network architectures using frameworks such as PyTorch, TensorFlow, and Keras.
- Train models on large structured and unstructured datasets utilizing GPU/TPU infrastructure.
- Apply techniques like transfer learning and neural architecture search to enhance model accuracy iteratively.
- Develop data pipelines to preprocess, clean, and transform training data for models.
- Convert research implementations into production-ready models while maintaining high accuracy.
- Monitor and continuously improve model performance in production environments.
- Stay informed about the latest advancements in deep learning and AI research.
- 3 years of experience developing AI/ML solutions with Python.
- Strong understanding of deep learning concepts and techniques such as CNNs, RNNs, LSTMs, etc.
- Extensive hands-on experience building models using PyTorch and TensorFlow.
- Familiarity with AI model training/serving paradigms and MLOps, including prompt engineering, retrieval-augmented generation (RAG), and fine-tuning.
- Proficiency with common data science libraries like Pandas, NumPy, and Scikit-Learn.
- Understanding of AI model interpretability and explainability techniques.
- Bachelor’s or Master’s degree in Computer Science, AI, Statistics, or a related field.
- Strong problem-solving and communication skills.
- This role is ideal for an engineer passionate about leveraging advanced deep learning frameworks to create innovative AI solutions and delivering impactful results.
Want to learn more about this role and Jobot Consulting?
Click our Jobot Consulting logo and follow our LinkedIn page!
Salary : $65 - $100